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Your Job: The main objective of this PhD project is to achieve a better understanding of the efficient propulsion of trypanosomes through complex crowded environments, mimicking biological tissues
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nanoconstructs. The primary goal is to build an AI-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns
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contribute to the development of the Institute’s academic programs, mainly aimed at master's students, but also for bachelor's degrees, on-the-job training and MOOCs. The applicant will participate in
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master's degree in agricultural or environmental economics, applied mathematics, or a related fieldGood background in bio-economic modelling, CGE modelling, and optimization techniquesExperience with
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methods for biomedical and toxicological research Establishment and characterisation of 2D cell culture and 3D sphere models based on human primary cells and induced pluripotent stem cells (hiPSCs) Using
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and research academics. Primary supervisor: Simon Kondrat Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Chemistry, Chemical
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, the project is timely. The combination of all three considerations for the development of novel snack foods is original and innovative with the potential for both human and planetary health benefit. The work
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prepared for changes to your work duties after employment. Required selection criteria You must have a Master's degree or equivalent in engineering, architecture, or in other relevant disciplines. Your
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of the research experience and publications prior academic output and/or research performance (Master thesis and papers in journals/conferences and citations) the applicant’s own ideas of research themes and
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record (including peer-reviewed publications and conference presentations) and demonstrated ability to conduct independent research. Experience with primary cell culture (e.g., stem cells, organoids